Sr. Manager, Data Science CFC AI Solutions

ROLE SUMMARY

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights develop solutions that enable commercial business units at scale. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the commercial division. The Dynamic Targeting and Customer Facing Colleagues (CFC) AI Solution Enablement Team brings together a cross-functional team of data scientists and engineers who come from diverse backgrounds and experience to deliver solutions at scale. As a team, we aim  to turn enable our CFC with the tools that enable them to help bring the right therapies to save patients lives.

The Senior Manager, Data Science, Dynamic Targeting and Customer Facing Colleagues (CFC) AI Solution Enablement is responsible for delivering data science solutions globally of the highest impact. As a strategic partner to the US Commercial teams, this person will develop and implement models which integrate into end-to-end solutions and data-science products that drive brands strategic priorities. This will include driving the execution and interpretation of AI/ML models, framing problems, and shaping solutions. Also, this person will help shape solution strategy and tactics by interfacing closely with Business Aligned data scientists and brand teams, and interface closely with omnichannel operations to drive execution.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join DT&CFC Team Colleagues worldwide that are constantly supporting our companies’ analytics and business transformation goals through their proactive leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.

ROLE RESPONSIBILITIES

Role definition and key accountabilities include, but are not limited to:

Solution Delivery and Management

• Utilize experience of end-to-end solution development to design and architect AI/ML and GenAI pipelines.

• Act as a strategic partner to frame, investigate, translate complex AI solutions that answer key business questions related to the identification and evaluation of Commercial and brand strategies and tactics.

• Position solutions to enable business value and with a user centric focus

• Select, develop, and explain machine learning models that drive business strategy

• Utilize data-driven insights to identify new opportunities for solution development and optimize existing solutions to support an evolving commercial strategy

• Apply statistical methods to assess impact of solutions on business outcomes.

Technical Delivery

• Develop and integrate models into platforms for solution delivery

• Support architecture conversations to design next gen solutions for CFC

• Work with Legal/Compliance to ensure mitigations are integrated into pipelines

Collaborate, Partnership, and Mentorship

• Develop relationships with key partners to deliver end to end solutions.

• Drive alignment with partners and stakeholders by brining data science expertise.

• Mentor and develop junior data scientists, fostering a culture of continuous learning and innovation.

PROFESSIONAL CHARACTERISTICS

• Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization

• Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights 

• Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others

• Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork

• Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines

• Self-Starter: Eager to take on new responsibilities and opportunities

Technical Skills

• 3-5 years of experience with commercial life science data with application to commercial lifecycle

• 3+  years o